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Cited by 578

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Predicting the global spread of H5N1 avian influenza

Open access
Kilpatrick, A. Marm, Chmura, Aleksei A., Gibbons, David W., Fleischer, Robert C., Marra, Peter P., Daszak, Peter·2006·Proceedings of the National Academy of Sciences

Abstract

The spread of highly pathogenic H5N1 avian influenza into Asia, Europe, and Africa has resulted in enormous impacts on the poultry industry and presents an important threat to human health. The pathways by which the virus has and will spread between countries have been debated extensively, but have yet to be analyzed comprehensively and quantitatively. We integrated data on phylogenetic relationships of virus isolates, migratory bird movements, and trade in poultry and wild birds to determine the pathway for 52 individual introduction events into countries and predict future spread. We show that 9 of 21 of H5N1 introductions to countries in Asia were most likely through poultry, and 3 of 21 were most likely through migrating birds. In contrast, spread to most (20/23) countries in Europe was most likely through migratory birds. Spread in Africa was likely partly by poultry (2/8 introductions) and partly by migrating birds (3/8). Our analyses predict that H5N1 is more likely to be introduced into the Western Hemisphere through infected poultry and into the mainland United States by subsequent movement of migrating birds from neighboring countries, rather than from eastern Siberia. These results highlight the potential synergism between trade and wild animal movement in the emergence and pandemic spread of pathogens and demonstrate the value of predictive models for disease control.

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Metadata

Authors
Kilpatrick, A. M., Chmura, A. A., Gibbons, D. W., Fleischer, R. C., Marra, P. P., & Daszak, P.
Venue
Proceedings of the National Academy of Sciences
Published
2006-12-19
Volume
103
Issue
51
Pages
19368-19373
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1999984759
Cited by
578
References
16
FWCI
34.53
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Predicting the global spread of H5N1 avian influenza. https://app.cochat.ai/papers/10.1073/pnas.0609227103
The paper
Kilpatrick, A. M., Chmura, A. A., Gibbons, D. W., Fleischer, R. C., Marra, P. P., & Daszak, P. (2006). Predicting the global spread of H5N1 avian influenza. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0609227103

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.